Triple

T8472154
Position Surface form Disambiguated ID Type / Status
Subject Symbolics E200304 entity
Predicate developed P73 FINISHED
Object Genera
Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
E736610 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Genera | Statement: [Symbolics, developed, Genera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genera
Context triple: [Symbolics, developed, Genera]
  • A. Gerar
    Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
  • B. InGen
    InGen is the fictional bioengineering corporation in the Jurassic Park franchise responsible for cloning dinosaurs and creating the dinosaur theme parks.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • E. Genii
    The Genii are a militaristic and duplicitous human civilization in the Stargate Atlantis universe, posing as simple farmers while secretly developing advanced technology and plotting against both the Wraith and Atlantis.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Genera
Triple: [Symbolics, developed, Genera]
Generated description
Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Genera
Target entity description: Genera is an advanced object-oriented Lisp-based operating environment created by Symbolics for its line of Lisp machines.
  • A. Gerar
    Gerar is an ancient Philistine city mentioned in the Hebrew Bible, associated with the patriarchs Abraham and Isaac in the region of the Negev.
  • B. InGen
    InGen is the fictional bioengineering corporation in the Jurassic Park franchise responsible for cloning dinosaurs and creating the dinosaur theme parks.
  • C. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • D. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • E. Genii
    The Genii are a militaristic and duplicitous human civilization in the Stargate Atlantis universe, posing as simple farmers while secretly developing advanced technology and plotting against both the Wraith and Atlantis.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f3a81881908f20514579945ffa completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39fc9bf481908e37919b13465d18 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1e188c8190ad894478141f6501 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3bfd00948190b3956be3f8c5d547 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:11 p.m.